Pierre Ablin

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pierre Ablin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Marco Cuturi
  2. Francis R. Bach
  3. Barbara Olshausen
  4. Julien Mairal
  5. Martial Agueh
  6. Hédy Attouch
  7. Yoshua Bengio
  8. G. Peyr'e
  9. Aude Genevay
  10. Ingrid Daubechies

Who trusts Pierre Ablin overall

  1. Mathieu Blondel
  2. Yan Zhang

Papers from Pierre Ablin's perspective

Ordered by how strongly the researchers Pierre Ablin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. GENERATIVE ADVERSARIAL NETS
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers